Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, - Marjane Mall - Image 1
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Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents,

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Livraison entre le Jeudi 10 septembre 2026 et le Vendredi 11 septembre 2026

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Marque : GENERIC
Vendu par KECHBOOK

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practicesFree with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand t...

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Description produit

Marque
GENERIC
Titre
Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems
Éditeur
Packt Publishing
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
1/23/2026 12:00:00 AM
Langue d'origine
English
ISBN
5355021719
Nombre de pages
574 pages
Langue
English
Résumé
Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practicesFree with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand the GenAI and Agentic AI maturity model and enterprise adoption roadmapUse prompt engineering and optimization, various styles of RAG, and LLMOps to enhance AI capability and performancePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs.Starting with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.To ensure your systems are production-ready, we provide a practical framework for observability using life cycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK).*Email sign-up and proof of purchase requiredWhat you will le
Auteur
Dr. Ali Arsanjani, Juan Pablo Bustos
Date de parution
1/23/2026 12:00:00 AM